New Public Management (NPM) emphasizes the use of market-based techniques to improve efficiency and effectiveness in public service delivery. This approach seeks to promote accountability and performance measurement. Key per- formance indicators describe the performance of processes that characterize a spe- cific workflow. One of the concepts that has emerged in the last decade is Preci- sion Public Health, which integrates traditional determinants of health with new approaches such as data science and health economics. Moreover, visualizations help to understand social determinants of health and public health indicators. This paper aims to present a useful application for data visualization, processing, and analysis for understanding and evaluating the performance of services provided by emergency rooms, through the lunge on a specific case.

EmurStat: a digital tool for statistical analysis of emur flow / Paesano, Simone; Grassia, MARIA GABRIELLA; Marino, Marina; Sacco, Dario; Mazza, Rocco. - Antonella Plaia, Leonardo Egidi, Antonino Abbruzzo:(2024). (Intervento presentato al convegno Statistics and Data Science 2024 Conference).

EmurStat: a digital tool for statistical analysis of emur flow

Simone Paesano;Maria Gabriella Grassia;Marina Marino;Dario Sacco;Rocco Mazza
2024

Abstract

New Public Management (NPM) emphasizes the use of market-based techniques to improve efficiency and effectiveness in public service delivery. This approach seeks to promote accountability and performance measurement. Key per- formance indicators describe the performance of processes that characterize a spe- cific workflow. One of the concepts that has emerged in the last decade is Preci- sion Public Health, which integrates traditional determinants of health with new approaches such as data science and health economics. Moreover, visualizations help to understand social determinants of health and public health indicators. This paper aims to present a useful application for data visualization, processing, and analysis for understanding and evaluating the performance of services provided by emergency rooms, through the lunge on a specific case.
2024
978-88-5509-645-4
EmurStat: a digital tool for statistical analysis of emur flow / Paesano, Simone; Grassia, MARIA GABRIELLA; Marino, Marina; Sacco, Dario; Mazza, Rocco. - Antonella Plaia, Leonardo Egidi, Antonino Abbruzzo:(2024). (Intervento presentato al convegno Statistics and Data Science 2024 Conference).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/966075
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